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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Haruki Yokota

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3 papers indexed here

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Preprint Sep 2026

Multivariate signal restoration via Multifold Graph Learning

We propose a method for restoring noisy and incomplete multivariate signals by learning multifold graphs. Spatial relationships among channels can be utilized to recover missing values and suppress noise. However, these relationships can vary across frequency components and observation windows while retaining common co...

Haruki Yokota, Yuichi Tanaka · 0 citations
#machine learning Open access Jan 2020

Time-Varying Graph Learning With Constraints on Graph Temporal Variation

A novel framework for learning time-varying graphs from spatiotemporal measurements that can estimate time-varying graphs from a small number of available measurements is proposed and introduces three regularization terms in convex optimization problems that constrain the sparseness of temporal variations of the time-v...

Haruki Yokota, Koki Yamada, Yuichi Tanaka et al. · 44 citations · ⚡3
#machine learning Jun 2025

Efficient Learning of Balanced Signed Graphs via Sparse Linear Programming

Extensive experimental results on synthetic and real-world datasets show that the balanced graph learning method outperforms competing methods and enables reuse of spectral filters, wavelets, and graph neural nets constructed for positive graphs.

Haruki Yokota, Hiroshi Higashi, Yuichi Tanaka et al. · 0 citations

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